Babenko I. Modeling and evolutionary optimization of the work of underground conveyer transport systems with hoppers

The thesis is devoted to the coal mines underground conveyor transport system (UCTS) with accumulative hoppers efficiency increasing with the help of simulation and optimization of its parameters using global optimization methods according to the generalized efficiency criteria, which takes into account the electricity costs and UCTS capacity. We developed simulation and mathematical models of accumulative hopper and the system of coal mines UCTS with accumulative hoppers. We obtained recurrent approximate formulas for calculating the average capacity and energy efficiency of hopper accurately reflecting the simulation and mathematical modeling results. We suggest mathematical and computer optimization methods for UCTS parameters based on evolutionary algorithms, in particular, chaotic modifications of classical GA's operators. Based on the developed mathematical models of UCTS with accumulative hoppers and optimization methods of its parameters, we developed computer programs that allow investigating evolutionary algorithms in the problem of UCTS with accumulative hoppers parameters optimization. These studies have shown their efficiency in UCTS parameters optimization when there is a limitation on accumulative hoppers capacity, conveyor line speeds and batchers productivity. In addition, the use of chaotic modifications GA classical operators improved the search efficiency of generalized efficiency criteria extrema of UCTS functioning.